Your GIS project workflow faces unexpected data changes. How will you adapt to ensure seamless progress? (original) (raw)
Last updated on Sep 26, 2024
When unexpected data changes occur, your GIS project doesn't have to stall. Here's how to keep moving forward:
Assess the impact: Quickly evaluate how the changes affect your current analysis or results.
Communicate promptly: Update your team and stakeholders about the changes and potential adjustments.
Adjust timelines and resources: Reallocate as necessary to accommodate the new data without derailing progress.
How do you cope with sudden data changes in your projects? Share your strategies.
When unexpected data changes occur, your GIS project doesn't have to stall. Here's how to keep moving forward:
Assess the impact: Quickly evaluate how the changes affect your current analysis or results.
Communicate promptly: Update your team and stakeholders about the changes and potential adjustments.
Adjust timelines and resources: Reallocate as necessary to accommodate the new data without derailing progress.
How do you cope with sudden data changes in your projects? Share your strategies.
Help others by sharing more (125 characters min.)
4 answers
- Implement temporal data handling workflow. In a temporal database, each record contains valid time periods indicating when the data is valid. When changes are made to a record, instead of overwriting the existing data, a new version of the record is created with a new time period. This ensures that the historical changes to the data are preserved.
- Depending on the nature of the data changes, you may need to revise your approach or adopt more flexible analytical methods. This might include adjusting spatial models or integrating alternative data sources to compensate for any gaps. Keeping your methodology adaptable ensures the project remains robust.
- Well "data changes" could be interpreted in different dimensions. Usually the tools that relies on secondary data sources > save a local file > use the local files to analyse and produce processed data; - doesn’t save the local data in databases. Typically stored in known file formats and simply loads later. But, when YOU deal with behemoth of system data or granular resolution data then developers are prone to local/cloud database storing. That might need attention and the least possible way to manage it might be timestamping the data with a force update feature enabled.
- To adapt your GIS project workflow to unexpected data changes: 1. Assess Impact: Evaluate how the changes affect your workflow. 2. Update Protocols: Revise collection and processing methods. 3. Communicate: Inform the team about the changes. 4. Ensure Flexibility: Use adaptable tools and methods. 5. Conduct Testing: Test the updated workflow for data integrity. 6. Document Changes: Keep records of adjustments made. 7. Gather Feedback: Collect team input for improvements. 8. Plan Ahead: Develop contingency plans for future changes. These steps will help maintain progress despite unexpected data changes.